Creative Chord Sequence Generation for Electronic Dance Music

被引:3
|
作者
Conklin, Darrell [1 ,2 ]
Gasser, Martin [3 ]
Oertl, Stefan [3 ]
机构
[1] Univ Basque Country UPV EHU, Dept Comp Sci & Artificial Intelligence, San Sebastian 20018, Spain
[2] Basque Fdn Sci, Ikerbasque, Bilbao 48013, Spain
[3] Re Compose GmbH, A-1080 Vienna, Austria
来源
APPLIED SCIENCES-BASEL | 2018年 / 8卷 / 09期
基金
欧盟地平线“2020”;
关键词
music generation; chord sequences; harmony; MODELS;
D O I
10.3390/app8091704
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This paper describes the theory and implementation of a digital audio workstation plug-in for chord sequence generation. The plug-in is intended to encourage and inspire a composer of electronic dance music to explore loops through chord sequence pattern definition, position locking and generation into unlocked positions. A basic cyclic first-order statistical model is extended with latent diatonicity variables which permits sequences to depart from a specified key. Degrees of diatonicity of generated sequences can be explored and parameters for voicing the sequences can be manipulated. Feedback on the concepts, interface, and usability was given by a small focus group of musicians and music producers.
引用
收藏
页数:11
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